Electrocardiogram Processing System Design with Parallel Computing and Memory Transferring Using Fuzzy ART Neural Network

A design of electrocardiogram (ECG) signal analysis system based on a neural network (NN) of Fuzzy Adaptive Resonance Theory (ART) is proposed and simulated. Results of presenting simulations show that parallel memory blocks used are capable to operate much faster than their sequential counterparts. Furthermore, it is suggested to implement the parallelized Fuzzy ART NNs in an up-to-date analog/digital hardware that provides ECG signal analysis system operation in online mode, its compactness, energy efficiency, and low cost.